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Tinkoff Etna Open Service for Business Process Analytics and Forecasting

Product
Developers: Tinkoff Bank
Date of the premiere of the system: 2021/12/10
Technology: BPM,  Data Mining

Main articles:

ETNA is an open-source service for business process analytics and forecasting.

2021: Service Launch

On December 10, 2021, the Technology Center artificial intelligence Tinkoff announced the ETNA service, with which you can analyze and predict data processes based on processes - from the amount of precipitation in the coming winter to the company's needs for hiring employees.

Photo: vbr.ru

What is ETNA

At the start, the service is available in the language. programming Python The project works on the principle. open source Analysis, hypothesis testing, and predictions are based on user-loaded data and open source information.

In the work of ETNA, algorithmachine learning and neural networks are used. This ensures complete data security, as all downloaded information remains on the user's computer and is not sent to external resources.

As used in Tinkoff

Tinkoff, with the help of ETNA, plans to recruit employees, demand for equipment and equipment in the office and determines the mutual influence of various business processes. For example, ETNA helps predict the volume of demand and cash deposits at a particular ATM, analyze the need for collection, and schedule the replenishment of the ATM. Also, specialists with the help of ETNA are working on the possibility of forecasting the future spending of Tinkoff customers in different product categories - this allows customers to plan their budget more carefully.

How ETNA was created and how it differs from foreign analogues

ETNA has foreign analogues that were developed for various purposes - research institutes, small companies for sale to business, large IT giants (Facebook, Amazon, etc.). The latter developed tools like ETNA for internal tasks, and later scaled them into a separate B2B product.

The Tinkoff Center for Artificial Intelligence Technologies also developed ETNA on its own to solve the business problems of the Tinkoff ecosystem - after the company's specialists could not find a sufficiently flexible tool in foreign markets that would satisfy all the business needs of the ecosystem. Unlike foreign counterparts, ETNA has a clear and convenient interface, a large number of methods for processing data, as well as models for predicting them.

How ETNA became an open-source project

Tinkoff decided to bring ETNA to the market after making sure that the service allows you to effectively solve the internal problems of a large fintech company. ETNA operates on the principle of open source code, any user can customize the tool to his needs: change parameters, add or remove any functionality, create his own version of software (software) for a particular industry. You can study the details and start working with ETNA on the project website. To test the capabilities of the tool, you can use a set of examples that open directly in the browser.

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"ETNA is the first project of the Tinkoff Center for Artificial Intelligence Technologies, operating on the principle of open source. This is a very flexible data tool that includes all that we have lacked in existing foreign counterparts, namely a convenient interface and a wider set of methods for analysis and forecasting models. The tool can be used by developers and analysts who can work in Python. But we understand the importance of open source software for scientific and business communities and are ready to contribute. In the future, we plan to make ETNA accessible to a wider audience, "said Pavel Kalaidin, Director of Artificial Intelligence Technologies, Tinkoff.
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ETNA is the own development of the Tinkoff Center for Artificial Intelligence Technologies. The center includes more than 20 teams and more than 200 specialists in the field of machine learning. Among the Center's developments are, voice assistant Oleg technology synthesis and, speech recognition VoiceKit as well as predictive models for lifestyle services, investments and content projects of the company.